Technology of Information Security
|
3068-3070,3082

PDMP: εk personalized data masking protection

Liu Zhenpenga,b
Sun Jingweia
Wang Shuoc
Wang Wenshenga
Yin Wenzhaoa
Zhang Binb
a. School of Electronic Information Engineering, b. Center of Information Technology, c. School of Cyber Security & Computer, Hebei University, Baoding Hebei 071002, China

Abstract

Through the desensitization of k-anonymous data and the desensitization model of l-diversity anonymous data, this paper proposed a more targeted personality data masking protection method(PDMP) to solve the data leakage problem. PDMP found different k values according to different sensitivity levels, and generalized the data through corresponding constraint methods to achieve desensitization of sensitive data and reduced the attack rate of real data to protect private data better. Experiments show that the proposed method reduces the information sensitivity and it satisfies the individualized requirements and effectively improves the security of data privacy.

Foundation Support

河北省自然科学基金资助项目(F2019201427)
国家教育部“云数融合科教创新”基金资助项目(2017A20004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0238
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Technology of Information Security
Pages: 3068-3070,3082
Serial Number: 1001-3695(2020)10-038-3068-03

Publish History

[2020-10-05] Printed Article

Cite This Article

刘振鹏, 孙静薇, 王烁, 等. PDMP:εk个性化数据脱敏保护方法 [J]. 计算机应用研究, 2020, 37 (10): 3068-3070,3082. (Liu Zhenpeng, Sun Jingwei, Wang Shuo, et al. PDMP: εk personalized data masking protection [J]. Application Research of Computers, 2020, 37 (10): 3068-3070,3082. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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